Predictive analytics, pattern recognition, and classification problems are not new ... This article provides a quick explanation of the nine most common data-mining techniques used in predictive ...

Budoen, A. , Zhang, M. and Jr., L. (2025) A Comparative Study of Ensemble Learning Techniques and Classification Models to Identify Phishing Websites. Open Access Library Journal, 12, 1-22. doi: ...

A study by the universities of Cordoba and Seville develops a method that makes it possible to verify, easily and quickly, ...

This TDWI Insight Accelerator considers the challenges that organizations are facing with diverse, distributed data types and explores techniques and approaches that can help data engineers overcome ...

This TDWI Best Practices Report identifies current challenges organizations are facing with data strategy and management, as well as shared modernization priorities for achieving data-driven business ...

The investing world has a significant problem when it comes to data about small and medium-sized enterprises (SMEs). This has nothing to do with data quality or accuracy — it’s the lack of any data at ...

In this paper, we propose a system that leverages data mining techniques to collect and analyze call logs primarily from the perspectives of costs and quality. The system is designed to develop a ...

When training CNN models for image classification, it is required to prepare sufficient training data taken in various conditions. However, traditional data augmentation methods are limited to ...

From lens focal lengths and fill-flash to portraits, macro or stunning landscapes there are techniques for everyone ... follow step by step photo editing tutorials.